Quality Control And Differentiall Gene Expression Results

This Is A Report Of Quality Control And Differentail Gene Expression Analysis.

Differential Gene Expression Approach Used: DESeq2

Cutoffs To Establish Differentially Regulated Genes: |Log2FC| > 0.5 & padj < 0.1

PCA Plots

2D PCA on DESeq2’s Normalized Counts
Total Explained Variance = 65.512%
3D PCA on DESeq2’s Normalized Counts
Total Explained Variance = 77.624%
2D PCA on DESeq2’s Normalized Counts
Total Explained Variance = 93.72%
3D PCA on DESeq2’s Normalized Counts
Total Explained Variance = 97.447%

Dendrograms representing sample clustering

Dendrogram on DESeq2’s Normalized Counts

Dendrogram on DESeq2 normalized counts with only DEGs

Correlation between samples performed on Euclidean distance with the use of DE genes

Volcano Plots